Evidence map›Paper›PMID 36829627›Full record

ArticleBioengineering (Basel, Switzerland)2023

Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging.

Umut Varol, Elena Sánchez-Jiménez, Emma Alyette Adélaïde Leloup, Marcos José Navarro-Santana, César Fernández-de-Las-Peñas, Sandra Sánchez-Jorge, Juan Antonio Valera-Calero

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Umut VarolEscuela Internacional de Doctorado, Universidad Rey Juan Carlos, 29222 Alcorcón, Spain.ORCID 0000-0002-2288-9475
Elena Sánchez-JiménezFaculty of Health, Universidad Católica de Ávila, C/Canteros, s/n, 05005 Ávila, Spain.ORCID 0000-0003-1810-5743
Emma Alyette Adélaïde LeloupVALTRADOFI Research Group, Universidad Camilo José Cela, 28692 Villanueva de la Cañada, Spain.
Marcos José Navarro-SantanaDepartment of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28223 Madrid, Spain.ORCID 0000-0002-6065-9283
César Fernández-de-Las-PeñasCátedra Institucional en Docencia, Clínica e Investigación en Fisioterapia: Terapia Manual, Punción Seca y Ejercicio Terapéutico, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain.ORCID 0000-0003-3772-9690
Sandra Sánchez-JorgeFaculty of Health Sciences, Universidad Francisco de Vitoria, Pozuelo de Alarcón, 28223 Madrid, Spain.ORCID 0000-0001-6509-3322
Juan Antonio Valera-CaleroVALTRADOFI Research Group, Universidad Camilo José Cela, 28692 Villanueva de la Cañada, Spain.ORCID 0000-0002-3379-8392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound imaging (US) is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics such as muscle morphology and quality. Since measuring instruments are required to demonstrate their reliability, accuracy, sensitivity, and specificity prior to their use in clinical and research settings, identifying factors affecting their diagnostic accuracy is essential. Since previous studies analyzed the impact of sociodemographic but not body composition characteristics in US errors, this study aimed to assess whether body composition metrics are correlated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the fifth lumbar vertebral level (L5) were acquired and analyzed in 49 healthy volunteers by two examiners (one experienced and one novel). Cross-sectional area, muscle perimeter and mean echo intensity were calculated bilaterally. A multivariate correlation matrix was calculated for assessing the inter-examiner differences with body composition metrics. Results demonstrated excellent reliability (intraclass correlation coefficient, ICC > 0.9) for assessing the muscle cross-sectional area and perimeter, and good reliability for assessing the muscle shape and mean echo intensity (ICC > 0.7). Inter-examiner errors for estimating muscle size were correlated with participants' age (

Indexed as

diagnostic accuracy studymuscle compositionreliabilityspineultrasound imaging

Identifiers

PMID36829627
PMCPMC9952113

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.